Monitoring & Logging
This guide covers essential monitoring and logging practices for maintaining and optimizing system performance and reliability.
Monitoring Fundamentals
Key Metrics
-
System Metrics:
- CPU usage
- Memory utilization
- Disk I/O
- Network traffic
-
Application Metrics:
- Response times
- Error rates
- Request counts
- Throughput
Monitoring Tools
-
Infrastructure Monitoring:
- Prometheus
- Grafana
- Nagios
- Zabbix
-
Application Performance Monitoring (APM):
- New Relic
- Datadog
- Dynatrace
- AppDynamics
Logging
Log Management
-
Collection:
- Log aggregation
- Centralized logging
- Log rotation
-
Processing:
- Parsing
- Filtering
- Enrichment
Logging Tools
-
ELK Stack:
- Elasticsearch
- Logstash
- Kibana
-
Alternative Solutions:
- Splunk
- Graylog
- Fluentd
Observability
Three Pillars
- Metrics: Quantitative measurements
- Logs: Detailed event records
- Traces: Request flow tracking
Implementation
- Distributed Tracing:
- OpenTelemetry
- Jaeger
- Zipkin
Alerting
Alert Configuration
- Thresholds: Setting appropriate limits
- Alert Routing: Notification channels
- Escalation: Alert hierarchy
- On-Call: Rotation management
Best Practices
- Alert Fatigue Prevention
- Meaningful Alerts
- Runbooks and Documentation
- Incident Response Plans
Visualization
Dashboards
- Real-time Monitoring
- Historical Analysis
- Custom Metrics
- Team-specific Views
Best Practices
- Data Retention Policies
- Security Monitoring
- Performance Optimization
- Capacity Planning